Try Gemini 1.5 models , the latest multimodal models in Vertex AI, and see what you can build with up to a 2M token context window.
Try Gemini 1.5 models , the latest multimodal models in Vertex AI, and see what you can build with up to a 2M token context window.
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Delete the Ray cluster on Vertex AI
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When you've finished developing an application for your Ray cluster on Vertex AI, delete the cluster to avoid unnecessary billing.
Note: The cluster name may not be reusable for up to 2 hours after deleting the cluster.
Console
In the Google Cloud console, go to the Ray on Vertex AI page.
Go to the Ray page
Select the Ray cluster on Vertex AI you want to delete.
Click Delete .
Vertex AI SDK for Python
From the same Python environment where you connected to your Ray cluster on Vertex AI, run the following:
# Shut down the Ray on Vertex AI if currently connected
ray.shutdown()
# Delete cluster
vertex_ray.delete_ray_cluster(CLUSTER_RESOURCE_NAME)
Where:
CLUSTER_RESOURCE_NAME : CLUSTER_RESOURCE_NAME='projects/{}/locations/{}/persistentResources/{}'.format(PROJECT_ID , LOCATION , CLUSTER_NAME ).
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Last updated 2024-07-25 UTC.
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